SummarizedExperiment

Container to represent genomic experiments, follows Bioconductor's SummarizedExperiment.

Install

Package is published to PyPI

pip install summarizedexperiment

Usage

Currently supports SummarizedExperiment & RangeSummarizedExperiment classes

First create necessary sample data

import pandas as pd
import numpy as np
from genomicranges import GenomicRanges

nrows = 200
ncols = 6
counts = np.random.rand(nrows, ncols)
df_gr = pd.DataFrame(
    {
        "seqnames": [
            "chr1",
            "chr2",
            "chr2",
            "chr2",
            "chr1",
            "chr1",
            "chr3",
            "chr3",
            "chr3",
            "chr3",
        ]
        * 20,
        "starts": range(100, 300),
        "ends": range(110, 310),
        "strand": ["-", "+", "+", "*", "*", "+", "+", "+", "-", "-"] * 20,
        "score": range(0, 200),
        "GC": [random() for _ in range(10)] * 20,
    }
)

gr = GenomicRanges.fromPandas(df_gr)

colData = pd.DataFrame(
    {
        "treatment": ["ChIP", "Input"] * 3,
    }
)

To create a SummarizedExperiment,

from summarizedexperiment import SummarizedExperiment

tse = SummarizedExperiment(
    assays={"counts": counts}, rowData=df_gr, colData=colData
)

To create a RangeSummarizedExperiment

from summarizedexperiment import RangeSummarizedExperiment

trse = RangeSummarizedExperiment(
    assays={"counts": counts}, rowRanges=gr, colData=colData
)

For more use cases including subset, checkout the documentation

Note

This project has been set up using PyScaffold 4.1.1. For details and usage information on PyScaffold see https://pyscaffold.org/.

Release files for summarizedexperiment 0.2.6

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for summarizedexperiment 0.2.6
File	Size	Uploaded
SummarizedExperiment-0.2.6.tar.gz	992.6 kB	Jun 22, 2023	Details

Built distribution (wheel)

Table of built distributions (wheels) for summarizedexperiment 0.2.6
File	Interpreter	ABI	Platform	Reset
SummarizedExperiment-0.2.6-py3-none-any.whl 13.0 kB Jun 22, 2023	Python 3	none	any	Details

Total release size: 1.0 MB

Release files / SummarizedExperiment-0.2.6.tar.gz

Download URL	SummarizedExperiment-0.2.6.tar.gz
Size	992.6 kB
Tags	Source
SHA-256 checksum How to use checksums	`27976e40c6efac590e47c83a49e3deab54cbe36f8c399c5f96191200c7c087aa`
BLAKE2b-256 checksum How to use checksums	`5d27560249421386d62b63a024bec1d63bf8cca94dc81da392f9dcc5fcfcbed6`
Upload date	Jun 22, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.9.17`

Release files / SummarizedExperiment-0.2.6-py3-none-any.whl

Download URL	SummarizedExperiment-0.2.6-py3-none-any.whl
Size	13.0 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`1c8eaf710534795ebf267c3a7e745b93d09ae0d9876406ebe187103de34516c2`
BLAKE2b-256 checksum How to use checksums	`f3917c70b63e68e5989d51c576cea5ee1a6c0a3dead8fab2ffba772d9136d68b`
Upload date	Jun 22, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.9.17`